Development and placement accuracy evaluation of an MR conditional robot for prostate intervention.

Robot-assisted prostate intervention under magnetic resonance imaging (MRI) guidance is a promising method to improve the clinical performance compared with the manual method. An MR conditional 6-DOF prostate intervention serial robot is developed and a binocular vision system (BVS) is established t...

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Publicado en:Medical & Biological Engineering & Computing Vol. 59; no. 5; pp. 1023 - 1035
Autores principales: Lin, Yuyang, Shi, Yunlai, Wang, Fugang, Zhang, Jun, Sun, Haichao, Wu, Wenbo
Formato: Journal Article
Publicado: Springer Nature May2021
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2021
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s11517-021-02347-5
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        atl: Development and placement accuracy evaluation of an MR conditional robot for prostate intervention.
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        au:
          Lin, Yuyang
          Shi, Yunlai
          Wang, Fugang
          Zhang, Jun
          Sun, Haichao
          Wu, Wenbo
        affil: State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, 210016, Nanjing, People's Republic of China
      sug:
        subj:
          Robotics
          Prostate
          Magnetic Resonance Imaging
          Algorithms
          Male
          Needles
          Scales
          Questionnaires
          Male
      ab: Robot-assisted prostate intervention under magnetic resonance imaging (MRI) guidance is a promising method to improve the clinical performance compared with the manual method. An MR conditional 6-DOF prostate intervention serial robot is developed and a binocular vision system (BVS) is established to evaluate the needle placement accuracy and located the penetration point precisely. The robot is designed by the MR conditional criteria. The serial configuration of the robot provides adequate flexibility and large workspace and excellent friendliness to the physicians. The kinematics are deduced and the needle placement control flow is proposed according to the configuration of the robot. The robot-assisted prostate intervention is divided into two phases including needle placement and needle penetration. A custom-made robust BVS is developed to obtain the needle tip position automatically in the needle placement phase where the needle cannot be detected by the MRI for lack of hydrogen atom. A simple and general algorithm used for needle tip camera coordinate estimation is proposed. Experiments on the BVS validation and robot accuracy evaluation are performed. The experiment results show that the errors of the BVS are under 0.3621 mm and the position error of the proposed robot is 2.815 mm which indicate the adequate accuracy for the prostate intervention. Graphical abstract.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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